The Korea Cohort Consortium: The Future of Pooling Cohort Studies

• Main Authors: Sangjun Lee (Author), Kwang-Pil Ko (Author), Jung Eun Lee (Author), Inah Kim (Author), Sun Ha Jee (Author), Aesun Shin (Author), Sun-Seog Kweon (Author), Min-Ho Shin (Author), Sangmin Park (Author), Seungho Ryu (Author), Sun Young Yang (Author), Seung Ho Choi (Author), Jeongseon Kim (Author), Sang-Wook Yi (Author), Daehee Kang (Author), Keun-Young Yoo (Author), Sue K. Park (Author)
• Format: Book
• Published: Korean Society for Preventive Medicine, 2022-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary

Objectives We introduced the cohort studies included in the Korean Cohort Consortium (KCC), focusing on large-scale cohort studies established in Korea with a prolonged follow-up period. Moreover, we also provided projections of the follow-up and estimates of the sample size that would be necessary for big-data analyses based on pooling established cohort studies, including population-based genomic studies. Methods We mainly focused on the characteristics of individual cohort studies from the KCC. We developed "PROFAN", a Shiny application for projecting the follow-up period to achieve a certain number of cases when pooling established cohort studies. As examples, we projected the follow-up periods for 5000 cases of gastric cancer, 2500 cases of prostate and breast cancer, and 500 cases of non-Hodgkin lymphoma. The sample sizes for sequencing-based analyses based on a 1:1 case-control study were also calculated. Results The KCC consisted of 8 individual cohort studies, of which 3 were community-based and 5 were health screening-based cohorts. The population-based cohort studies were mainly organized by Korean government agencies and research institutes. The projected follow-up period was at least 10 years to achieve 5000 cases based on a cohort of 0.5 million participants. The mean of the minimum to maximum sample sizes for performing sequencing analyses was 5917-72 102. Conclusions We propose an approach to establish a large-scale consortium based on the standardization and harmonization of existing cohort studies to obtain adequate statistical power with a sufficient sample size to analyze high-risk groups or rare cancer subtypes.

Item Description

1975-8375
2233-4521
10.3961/jpmph.22.299